Zhang, Bing, Seede, Raiyan, Xue, Lei, Atli, Kadri C., Zhang, Chen, Whitt, Austin, Karaman, Ibrahim, Arroyave, Raymundo, and Elwany, Alaa. An efficient framework for printability assessment in Laser Powder Bed Fusion metal additive manufacturing. Retrieved from https://par.nsf.gov/biblio/10328595. Additive Manufacturing 46.C Web. doi:10.1016/j.addma.2021.102018.

Zhang, Bing, Seede, Raiyan, Xue, Lei, Atli, Kadri C., Zhang, Chen, Whitt, Austin, Karaman, Ibrahim, Arroyave, Raymundo, & Elwany, Alaa. An efficient framework for printability assessment in Laser Powder Bed Fusion metal additive manufacturing. Additive Manufacturing, 46 (C). Retrieved from https://par.nsf.gov/biblio/10328595. https://doi.org/10.1016/j.addma.2021.102018

Zhang, Bing, Seede, Raiyan, Xue, Lei, Atli, Kadri C., Zhang, Chen, Whitt, Austin, Karaman, Ibrahim, Arroyave, Raymundo, and Elwany, Alaa. "An efficient framework for printability assessment in Laser Powder Bed Fusion metal additive manufacturing". Additive Manufacturing 46 (C). Country unknown/Code not available. https://doi.org/10.1016/j.addma.2021.102018. https://par.nsf.gov/biblio/10328595.

@article{osti_10328595,
place = {Country unknown/Code not available}, title = {An efficient framework for printability assessment in Laser Powder Bed Fusion metal additive manufacturing}, url = {https://par.nsf.gov/biblio/10328595}, DOI = {10.1016/j.addma.2021.102018}, abstractNote = {}, journal = {Additive Manufacturing}, volume = {46}, number = {C}, author = {Zhang, Bing and Seede, Raiyan and Xue, Lei and Atli, Kadri C. and Zhang, Chen and Whitt, Austin and Karaman, Ibrahim and Arroyave, Raymundo and Elwany, Alaa}, }